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Book Chapter
An Information Model for the Representation of Multiple Biological Classifications
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2073/2001
Book
Computational Science — ICCS 2001
DOI
10.1007/3-540-45545-0
Copyright
2001
ISBN
978-3-540-42232-7
DOI
10.1007/3-540-45545-0_106
Pages
937-946
Subject Collection
Computer Science
SpringerLink Date
Monday, January 01, 2001
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An Information Model for the Representation of Multiple Biological Classifications
Neville Yoon
5
and John Rose
5
(5)
Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina 29208, USA
Abstract
We present a model for representing competing classifications in biological databases. A key feature of our model is its ability to support future classifications in addition to current and previous classifications without reorganizing the database. Data in biological databases is typically organized around a taxonomic framework. Biological data must be interpreted in the context of the taxonomy under which it was collected and published. Since taxonomic opinion changes frequently, it is necessary to support multiple taxonomic classifications. This is a requirement for providing comprehensive responses to queries in databases that contain data reflecting incompatible taxonomic classifications.
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